Our goal will be to develop methods to optimize the workflow of treatment of patients using advanced AI. To achieve this, we will develop, implement and validate novel AI-based computer vision algorithms for the support of treatment decision and prognostic estimations of patients suffering from an acute ischemic stroke. This research will be embedded in a multidisciplinary team of researchers with a background in Medicine, Biomedical Engineering, AI, Technical Medicine, physics, and computer science. For this project we seek for 3 PhD students, one with a (technical) Medicine background, one with applied AI and medical image analysis background, and one with a theoretical AI background. Specific tasks of the AI candidates include (1) study deep neural networks for spatiotemporal segmentation and tracking in long and complex sequences applied to CT scans, (2) synthesis of dynamic series using a limited number of time snapshots, (3) develop approaches to deal with high-dimensionality low sample size applications, (4) evaluate clinical value in treatment decision support for patients suffering from an acute ischemic stroke, and (5) perform novel academic research on computer vision, deep machine learning, and medical imaging.
We are looking for two candidates for the PhD position.
We are looking for a candidate with a MSc degree in Computer Science, AI, (applied) Mathematics, (applied) Physics, biomedical engineering, or a related field. Affinity with image and signal analysis and programming are essential. The candidate is able to combine programming skills with analytical insights. Moreover, the candidate should have the ability to work in a multidisciplinary research group in order to bridge the gap between the clinic, biomedical engineering research and computer science lab.
The AIRBORNE project, which stands for Artificial Intelligence for early imaging Based patient selection in acute ischemic stRoke, is aimed at developing and validating new radiological imaging biomarkers that support treatment decision support for patients suffering from an acute ischemic stroke. AIRBORNE is a collaboration of the Amsterdam UMC, the University of Amsterdam, and Nico.lab. Within the project, the PhD candidate will be working in strong collaboration of the Department of Biomedical Engineering & Physics and the Department of Radiology and Nuclear Medicine of the Amsterdam UMC and the AI lab of the Computer Vision department of the UvA. The Amsterdam UMC are amongst the world leaders in imaging processing for acute ischemic stroke, whereas the UvA is world leading in AI-based computer vision of video images. The candidate will participate in a truly-multi-disciplinary team of stroke researchers varying from medical researchers to physicists and from computer scientist to biomedical engineers. See also www.qia.amsterdam. .
We offer you ample opportunity for development, deepening and broadening, additional training and a place to grow! Working at AMR means working in an inspiring and professional environment where development is encouraged in every respect.
For an overview of all our other terms of employment, see https://werkenbijamc.nl/arbeidsvoorwaarden-amr/
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If you would like more information, please feel free to contact Henk Marquering (Associate Professor), via firstname.lastname@example.org or contact Efstratios Gavves (Assistant Professor), via email@example.com.
We look forward to meeting you!